Bio-geographical regions - Annex 3

Although the circumpolar countries endeavor to support monitoring programs that provide good coverage of Arctic and subarctic regions, this ideal is constrained by the high costs associated with repeated sampling of a large set of lakes and rivers in areas that often are very remote. Consequently, freshwater monitoring has sparse, spatial coverage in large parts of the Arctic, with only Fennoscandia and Iceland having extensive monitoring coverage of lakes and streams Figure 6-2 Current state of monitoring for river FECs in each Arctic country State of the Arctic Freshwater Biodiversity Report - Chapter 6 - Page 94 - Figure 6-2

ARCOD is the acronym for the data rescue project Archive of Ocean Data, former Arctic Ocean Sediment Data. The projects aim is to make data evailable in electronic, machine-readable form which are available in Russian archives and literature. The project is carried out since 2003 by Dr. Evgeny Gurvich.

Dataset information available at http://www.arcodiv.org/Database/Data_overview.html

Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Original provider: Happywhale Dataset credits: Happywhale and contributorsSupplemental information: Sightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 8 contributors in alphabetic order: Andrew Thompson; Greta Henderson; Hondius; Marilia Olio; MS Maud; Nacho Oria; Sigrún Helgudóttir; steve

The study of long-distance migration provides insights into the habits and performance of organisms at the limit of their physical abilities. The Arctic tern Sterna paradisaea is the epitome of such behavior; despite its small size (-lt;125 g), banding recoveries and at-sea surveys suggest that its annual migration from boreal and high Arctic breeding grounds to the Southern Ocean may be the longest seasonal movement of any animal. Our tracking of 11 Arctic terns fitted with miniature (1.4 g) geolocators revealed that these birds do indeed travel huge distances (more than 80,000 km annually for some individuals). As well as confirming the location of the main wintering region, we also identified a previously unknown oceanic stopover area in the North Atlantic used by birds from at least two breeding populations (from Greenland and Iceland). Although birds from the same colony took one of two alternative southbound migration routes following the African or South American coast, all returned on a broadly similar, sigmoidal trajectory, crossing from east to west in the Atlantic in the region of the equatorial Intertropical Convergence Zone. Arctic terns clearly target regions of high marine productivity both as stopover and wintering areas, and exploit prevailing global wind systems to reduce flight costs on long-distance commutes. Purpose: The Arctic tern is known to make the longest annual migration in the animal kingdom. During its breeding season, it is found far to the north where summer days are long, and it winters far south in the southern hemisphere, where the days are longest during November to February. This means that the Arctic tern probably experiences more sun light during a calendar year than any other creature on Earth. The long-distance travel of the Arctic tern is well-known both amongst researchers and in the broader public. Now, for the first time, technological advances allow us to follow the Arctic tern on its immense journey, practically from pole to pole. Supplemental information: Four erroneous points were removed from the original dataset: ARTE_410, 9/17/2007 noon; ARTE_370, 9/13/2007 noon; ARTE_373, 9/15/2007 noon and 9/16/2007 noon. Sand Island (74.263 degrees N, 20.160 degrees W), northeast Greenland, is the breeding colony for these Arctic terns and was placed on the map (red-orange square). Sand Island can be used as the beginning and end of all tracks, but since exact dates of the starting and ending of the migration were not available (high-Arctic zone = continuous day light during summer = poor positions when using geolocators), the tracklines for each animal were not mapped to and from the breeding colony. Original provider: Greenland Institute of Natural Resources Dataset credits: Greenland Institute of Natural Resources

Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Original provider: Happywhale Dataset credits: Happywhale and contributors Supplemental information: Sightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 2 contributors in alphabetic order: Marilia Olio; Per Nikolaj Bukh

Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Original provider: Happywhale Dataset credits: Happywhale and contributors Supplemental information: Sightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 2 contributors in alphabetic order: Marilia Olio; Sabine+Ulf

This product enables users to assess spatial and temporal change in fish functional feeding traits across the northeast Atlantic shelf seas. Values are based on non-metric multidimensional axis scores, weighted by biomass observed in otter trawl surveys. This product is the result of collating and analyzing fish stomach contents data from the North Atlantic and Arctic Oceans to classify fish into feeding guilds. The feeding guilds identified include planktivores, benthivores, bentho-piscivores, and piscivores. Non-metric multidimensional scaling (NMDS) analysis was used to provide a more nuanced understanding of different predator feeding traits in relation to others. The NMDS analysis presents axis scores that offer a bounded data perspective, as opposed to categorical, of different predator feeding traits. This analysis is part of the process to classify feeding guilds based on predator stomach contents data. See figure S4 in https://essd.copernicus.org/preprints/essd-2024-102/essd-2024-102-supplement.pdf for a pictorial depiction. Uses attributes recommended by http://cfconventions.org

Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Original provider: Happywhale Dataset credits: Happywhale and contributorsSupplemental information: Sightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 1 contributors in alphabetic order: Marilia Olio